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Akhilesh Yelamali

Developer, PDF-Based RAG Chatbot (CARGO)

INDIA flag
bengaluru, India
$10.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

AI Chatbot/Retrieval-Augmented Generation (RAG)
Text-to-Image Synthesis/Generative AI

Top Data Types

DocumentDocument
ImageImage

Top Task Types

Question Answering
Text Generation

Freelancer Overview

Developer, PDF-Based RAG Chatbot (CARGO). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and TensorFlow. Education includes Bachelor of Engineering, KLE Technological University (2025) and Higher Secondary Certificate, Sir MV PU College (2021). AI-training focus includes data types such as Document and Image and labeling workflows including Question Answering and Text Generation.

Entry LevelKannadaHindiEnglish

Labeling Experience

Developer, PDF-Based RAG Chatbot (CARGO)

OtherDocumentQuestion Answering
I built an AI chatbot that enables users to upload PDFs and receive context-rich answers based on their content. The system extracts text, tables, and images from documents, generates embeddings, and indexes vectors for fast retrieval. I orchestrated query embedding lookup, retrieval, and large language model generation for accurate answers. • Integrated advanced document parsing and embedding techniques • Optimized response relevance using intelligent filtering • Employed Google GenAI API and Pinecone for indexing and retrieval • Used LangChain for query orchestration and answer generation

I built an AI chatbot that enables users to upload PDFs and receive context-rich answers based on their content. The system extracts text, tables, and images from documents, generates embeddings, and indexes vectors for fast retrieval. I orchestrated query embedding lookup, retrieval, and large language model generation for accurate answers. • Integrated advanced document parsing and embedding techniques • Optimized response relevance using intelligent filtering • Employed Google GenAI API and Pinecone for indexing and retrieval • Used LangChain for query orchestration and answer generation

2024 - Present

AI Model Developer, Text-to-Image Synthesis

ImageText Generation
I designed and trained a text-to-image synthesis model using attention-based transformers and GANs. The approach involved semantic alignment between text descriptions and generated images via learned embeddings. The project entailed end-to-end AI training, including embedding extraction, GAN training, and evaluation. • Developed Char-CNN-RNN embeddings with Gaussian conditioning • Trained with CUB-200-2011 dataset for domain evaluation • Utilized TensorFlow v2.11 on high-performance GPU hardware • Applied WGAN-GP for stable convergence and high-fidelity outputs

I designed and trained a text-to-image synthesis model using attention-based transformers and GANs. The approach involved semantic alignment between text descriptions and generated images via learned embeddings. The project entailed end-to-end AI training, including embedding extraction, GAN training, and evaluation. • Developed Char-CNN-RNN embeddings with Gaussian conditioning • Trained with CUB-200-2011 dataset for domain evaluation • Utilized TensorFlow v2.11 on high-performance GPU hardware • Applied WGAN-GP for stable convergence and high-fidelity outputs

2023 - 2024

Education

K

KLE Technological University

Bachelor of Engineering, Electronics and Communication Engineering

Bachelor of Engineering
2021 - 2025
S

Sir MV PU College

Higher Secondary Certificate, Science

Higher Secondary Certificate
2019 - 2021

Work History

N

NVIDIA

Project Developer

N/A
2024 - 2024